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Full Record Details
DOI
10.5286/raltr.2009004
Persistent URL
http://purl.org/net/epubs/work/50205
Record Status
Checked
Record Id
50205
Title
A DAG-based sparse Cholesky solver for multicore architectures
Contributors
JD Hogg (STFC Rutherford Appleton Lab.)
,
JK Reid (STFC Rutherford Appleton Lab.)
,
JA Scott (STFC Rutherford Appleton Lab.)
Abstract
In this paper, we describe the design and development of a new code for the solution of sparse symmetric positive-definite linear systems aimed primarily at multicore architectures. Our new Fortran 95/OpenMP code, HSL_MA67, is available as part of the sofware library HSL and extends to the sparse case the task DAG-based approach that is becoming popular in the design and development of dense linear algebra kernels. Comparisons are made with existing parallel solvers, using problems arising from a range of practical applications. We demonstrate thta HSL_MA87 obtains good serial and parallel times on an 8-core machine.
Organisation
CSE
,
CSE-NAG
,
STFC
Keywords
Fortran 95
,
parallel
,
Cholesky factorization
,
sparse symmetric linear systems
,
DAG-based
,
multicore
,
OpenMP
Funding Information
Related Research Object(s):
60482
,
60479
Licence Information:
Language
English (EN)
Type
Details
URI(s)
Local file(s)
Year
Report
RAL Technical Reports
RAL-TR-2009-004. STFC, 2009.
hrsRALTR2009004.pdf
2009
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